Chief Data Architect

1 day ago

Bikaner, Rajasthan, India beBeeMachineLearning Full time US$ 15,00,000 - US$ 20,00,000

AI and Machine Learning Professional

About the Role
  • You will serve as the primary technical contact for enterprise customers, building trusted relationships with stakeholders from technical teams to C-level executives.
  • You will architect end-to-end ML solutions, including predictive models, recommendation systems, and generative AI applications tailored to customer use cases.
  • You will lead proof-of-concepts, pilot deployments, and production implementations while ensuring seamless integration with customer systems.
  • You will conduct data assessments, provide ML strategy recommendations, and guide customers through model lifecycle management.
  • You will mentor customer teams and build internal data science capabilities through training and best practices sharing.
  • You will gather customer feedback to enhance existing solutions and identify new product opportunities.
Key Responsibilities:

Serve as primary technical contact for enterprise customers, building trusted relationships with stakeholders from technical teams to C-level executives.

Architect end-to-end ML solutions, including predictive models, recommendation systems, and generative AI applications tailored to customer use cases.

Lead proof-of-concepts, pilot deployments, and production implementations while ensuring seamless integration with customer systems.

Conduct data assessments, provide ML strategy recommendations, and guide customers through model lifecycle management.

Mentor customer teams and build internal data science capabilities through training and best practices sharing.

Gather customer feedback to enhance existing solutions and identify new product opportunities.

Requirements
  • Masters in Data Science, Computer Science, Statistics, or a related quantitative field.
  • 5+ years hands-on data science experience with 2+ years in customer-facing or consulting roles.
  • Proven track record delivering ML solutions in production environments.
Technical Skills
  • Programming: Advanced Python/R, strong SQL capabilities.
  • ML Expertise: Deep learning, NLP, traditional ML algorithms, and generative AI/LLMs.

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